Showing 1 - 6 results of 6 for search 'multi slice prediction algorithm', query time: 0.25s Refine Results
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    Presentation_1_A Novel Multimodal Radiomics Model for Preoperative Prediction of Lymphovascular Invasion in Rectal Cancer.docx by Yiying Zhang (198443)

    Published 2020
    “…</p><p>Results: An optimal multi-mode radiology nomogram for LVI estimation was established, which had significant predictive power in training (AUC, 0.884; 95% CI, 0.803–0.964) and validation (AUC, 0.876; 95% CI, 0.721–1.000). …”
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    Data_Sheet_1_A Novel Multimodal Radiomics Model for Preoperative Prediction of Lymphovascular Invasion in Rectal Cancer.docx by Yiying Zhang (198443)

    Published 2020
    “…</p><p>Results: An optimal multi-mode radiology nomogram for LVI estimation was established, which had significant predictive power in training (AUC, 0.884; 95% CI, 0.803–0.964) and validation (AUC, 0.876; 95% CI, 0.721–1.000). …”
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    Data_Sheet_1_Non-Invasive Prediction of Survival Time of Midline Glioma Patients Using Machine Learning on Multiparametric MRI Radiomics Features.CSV by Da-Biao Deng (12486184)

    Published 2022
    “…Objectives<p>To explore the feasibility of predicting overall survival (OS) of patients with midline glioma using multi-parameter magnetic resonance imaging (MRI) features.…”
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    DataSheet2_A single sequence MRI-based deep learning radiomics model in the diagnosis of early osteonecrosis of femoral head.PDF by Tariq Alkhatatbeh (19510537)

    Published 2024
    “…Its simpler than the previously published multi-sequence MRI radiomics based method, and it implements Deep learning to improve on radiomics. …”
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    DataSheet1_A single sequence MRI-based deep learning radiomics model in the diagnosis of early osteonecrosis of femoral head.pdf by Tariq Alkhatatbeh (19510537)

    Published 2024
    “…Its simpler than the previously published multi-sequence MRI radiomics based method, and it implements Deep learning to improve on radiomics. …”